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9781107686014

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'... informative and engaging ... Arguably an equally valuable contribution of the book is its integration of relevant work in philosophy, computer science, and statistics.' David R. Bickel, Mathematical Reviews This new book on causality is a wonderful combination surveying past work and moving on to develop useful new concepts such as probabilistic temporal logic to give new definitions and results about the nature of causes. Formal theorems and practical case studies about causality are given equally detailed attention. Patrick Suppes, Stanford University This book presents an exciting new approach to causality based on temporal logic. Kleinberg does an excellent job in integrating a thorough understanding of present-day philosophical approaches to causality with formal and computational considerations, to deliver an approach that is both well motivated and practically oriented. It is recommended to those interested in theories of causality as well as those concerned with the practice of causal inference. Jon Williamson, University of Kent ... informative and engaging ... Arguably an equally valuable contribution of the book is its integration of relevant work in philosophy, computer science, and statistics. David R. Bickel, Mathematical Reviews

'... informative and engaging ... Arguably an equally valuable contribution of the book is its integration of relevant work in philosophy, computer science, and statistics.' David R. Bickel, Mathematical Reviews

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Samantha Kleinberg is Assistant Professor of Computer Science at Stevens Institute of Technology. She received a Ph.D. in Computer Science and a B.A. in Computer Science and Physics from New York University.

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